| /* |
| * Copyright (C) 2012 The Android Open Source Project |
| * |
| * Licensed under the Apache License, Version 2.0 (the "License"); |
| * you may not use this file except in compliance with the License. |
| * You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| package android.bordeaux.services; |
| |
| import android.bordeaux.services.IPredictor; |
| import android.content.Context; |
| import android.os.RemoteException; |
| import android.util.Log; |
| import android.util.Pair; |
| |
| import java.util.ArrayList; |
| import java.util.List; |
| import java.util.HashMap; |
| import java.util.Map; |
| |
| /** Predictor for the Learning framework. |
| */ |
| public class BordeauxPredictor { |
| static final String TAG = "BordeauxPredictor"; |
| static final String PREDICTOR_NOTAVAILABLE = "Predictor is not available."; |
| private Context mContext; |
| private String mName; |
| private IPredictor mPredictor; |
| |
| public BordeauxPredictor(Context context) { |
| mContext = context; |
| mName = "defaultPredictor"; |
| mPredictor = BordeauxManagerService.getPredictor(context, mName); |
| } |
| |
| public BordeauxPredictor(Context context, String name) { |
| mContext = context; |
| mName = name; |
| mPredictor = BordeauxManagerService.getPredictor(context, mName); |
| } |
| |
| public boolean reset() { |
| if (!retrievePredictor()){ |
| Log.e(TAG, "reset: " + PREDICTOR_NOTAVAILABLE); |
| return false; |
| } |
| try { |
| mPredictor.resetPredictor(); |
| return true; |
| } catch (RemoteException e) { |
| } |
| return false; |
| } |
| |
| public boolean retrievePredictor() { |
| if (mPredictor == null) { |
| mPredictor = BordeauxManagerService.getPredictor(mContext, mName); |
| } |
| if (mPredictor == null) { |
| Log.e(TAG, "retrievePredictor: " + PREDICTOR_NOTAVAILABLE); |
| return false; |
| } |
| return true; |
| } |
| |
| public void addSample(String sampleName) { |
| if (!retrievePredictor()) |
| throw new RuntimeException(PREDICTOR_NOTAVAILABLE); |
| try { |
| mPredictor.pushNewSample(sampleName); |
| } catch (RemoteException e) { |
| Log.e(TAG,"Exception: pushing a new example"); |
| throw new RuntimeException(PREDICTOR_NOTAVAILABLE); |
| } |
| } |
| |
| public ArrayList<Pair<String, Float> > getTopSamples() { |
| return getTopSamples(0); |
| } |
| |
| public ArrayList<Pair<String, Float> > getTopSamples(int topK) { |
| try { |
| ArrayList<StringFloat> topList = |
| (ArrayList<StringFloat>) mPredictor.getTopCandidates(topK); |
| |
| ArrayList<Pair<String, Float> > topSamples = |
| new ArrayList<Pair<String, Float> >(topList.size()); |
| for (int i = 0; i < topList.size(); ++i) { |
| topSamples.add(new Pair<String, Float>(topList.get(i).key, topList.get(i).value)); |
| } |
| return topSamples; |
| } catch(RemoteException e) { |
| Log.e(TAG,"Exception: getTopSamples"); |
| throw new RuntimeException(PREDICTOR_NOTAVAILABLE); |
| } |
| } |
| |
| public boolean setParameter(String key, String value) { |
| if (!retrievePredictor()) |
| throw new RuntimeException(PREDICTOR_NOTAVAILABLE); |
| try { |
| return mPredictor.setPredictorParameter(key, value); |
| } catch (RemoteException e) { |
| Log.e(TAG,"Exception: setting predictor parameter"); |
| throw new RuntimeException(PREDICTOR_NOTAVAILABLE); |
| } |
| } |
| } |